The HPV Vaccination Campaign: A Project of Moral Regulation in an Era of Biopolitics
Bibliographic record
Abstract
This article examines the Canadian human papillomavirus (HPV) vaccination campaign in order to analyze the ways in which HPV and the threat of cervical cancer are framed as well as the individual risk management strategies that are made available to mothers and their daughters. The authors argue that the HPV campaign is illustrative of the moralization of health, a convergence of the regulatory discourses of moralization and medicalization in an era of bio-politics. Significantly, these discourses are put into play by a complex professional alliance that is mobilized by the extensive resources of the pharmaceutical industry. The convergence of both medical and market interests responsibilizes parents, specifically mothers, as well as schools, resulting in a vaccination program that verges on one that is mandatory. As such, HPV and cer-vical cancer prevention discourses constitute a moral regulation project directed at the regulation of the bodies of young women.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.035 | 0.130 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".